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Social Computing for Impact Assessment of Social Change Projects

Part of the Lecture Notes in Computer Science book series (LNISA,volume 9021)

Abstract

One problem that both philanthropic foundations and scientific organizations have recently started to tackle more seriously is assessing the societal impact of the work they are funding by going beyond traditional methods and metrics. In collaboration with makers and funders of social justice information products, we have been leveraging social computing techniques for practical impact assessment. In this paper, we identify which of the main impact goals as defined in the social change domain can be assessed by using our computational solution, illustrate our approach with an empirical case study, and compare our findings to those that can be obtained with traditional methods. We find that our solution can complement and enhance the findings and interpretations that can be obtained with standard techniques used in the given application domain, especially when applying data mining techniques to natural language text data, such as representations of public awareness, dialogue and engagement around various issues in their cultural contexts.

Keywords

  • Impact assessment
  • Geo-cultural information
  • Social justice
  • Semantic networks
  • Natural language processing

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Correspondence to Jana Diesner .

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© 2015 Springer International Publishing Switzerland

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Diesner, J., Rezapour, R. (2015). Social Computing for Impact Assessment of Social Change Projects. In: Agarwal, N., Xu, K., Osgood, N. (eds) Social Computing, Behavioral-Cultural Modeling, and Prediction. SBP 2015. Lecture Notes in Computer Science(), vol 9021. Springer, Cham. https://doi.org/10.1007/978-3-319-16268-3_4

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  • DOI: https://doi.org/10.1007/978-3-319-16268-3_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16267-6

  • Online ISBN: 978-3-319-16268-3

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